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Documentation for Axxon One 2.0. Documentation for other versions of Axxon One is available too.
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Neural analytics is a detector (see General information about detectors and their sub-detectors), the algorithms of which use neural networks.
Neural network is a mathematical model, as well as its software or hardware content, built on the principle of organization and functioning of biological neural networks (networks of neurons of a living organism). Within the context of the described software environment, neural networks are file models that have the .ann extension that you can use in the detectors operation.
The table lists the detectors that use neural networks in their operation:
| Detector that uses neural network | Action of the neural network |
|---|---|
| Face detector TV | Detection of faces and masks |
| Face detector VA | |
| Face detector VL | |
| Mask detector VL | |
| Mask detector VA | |
| Mask detector TV | |
| License plate recognition BRS | Detection of vehicle license plates |
| License plate recognition IV | |
| License plate recognition RR | |
| License plate recognition RR—Search in archive | |
| License plate recognition RR—Parking | |
| License plate recognition VT | |
| Vehicle recognition XR | |
| Vehicle recognition RR | Detection of vehicle attributes |
| Object tracker with a neural network filter | Processes tracker results and filters out objects of no interest in a complex video image (foliage, glare, and so on) |
| Human tracker VL | Detection of people in the frame |
| Fight detector VL | Detection of fights in the frame |
| Stopped object detector | Detection of stopped objects in the frame |
| Abandoned object detector VI | Detection of abandoned objects or objects that disappeared in the frame |
| Abandoned object detector VI (Street) | |
| Line crossing VI | Detection of object movement in the prohibited direction |
| Movement in prohibited direction VI | |
| Motion in area detector VI | Detection of object movement in a given area |
| Detector of atypical changes in the scene VI | Detection of changes not typical for the scene, such as overexposure, darkening, or defocusing |
| Neural tracker | Detection of the position of only the required objects in the frame |
| Neural counter | Counts the number of objects |
| Fire detector | Detection of fire |
| Smoke detector | Detection of smoke |
| Neural classifier | Detection of a specific object |
Human pose detector and its sub-detectors:
| Identifies each person's "skeleton" and detects poses that can represent a security threat |
| Equipment detector | Detection of necessary equipment and personal protective equipment. Segmenting and classification neural networks are used for the operation of the Equipment detector (see Functions of the Equipment detector) |
| Equipment detector VL | |
| Person-based privacy masking | Segmenting neural network breaks down the human body into areas |
| Privacy masking | Detection and masking of moving and stationary objects |
| Water level detector | Increases the accuracy of water level detection in difficult conditions. For example, in scenes with clear water |
| Audio classification IV | Detection of different sounds: from a baby cry to the sound of a gunshot |
| Crowd estimation VA | Counts crowds of people in a specified area |
| Barcode detector | Detection of a specific type of barcode |
| Meta-detector | Analyzes text queries and images to identify a match between them |
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